Find

Center for Music in the Brain

Our publications

Clemente, A., Vila-Vidal, M., Pearce, M. T., Aguiló, G., Corradi, G. & Nadal, M. (2020). A Set of 200 Musical Stimuli Varying in Balance, Contour, Symmetry, and Complexity: Behavioral and Computational Assessments. Behavior Research Methods, 52(4), 1491-1509. https://doi.org/10.3758/s13428-019-01329-8

Trusbak Haumann, N., Hansen, B., Huotilainen, M., Vuust, P. & Brattico, E. (2020). Applying stochastic spike train theory for high-accuracy human MEG/EEG. Journal of Neuroscience Methods, 340, [108743]. https://doi.org/10.1016/j.jneumeth.2020.108743

Kringelbach, M. L. & Deco, G. (2020). Brain States and Transitions: Insights from Computational Neuroscience. Cell Reports, 32(10), [108128]. https://doi.org/10.1016/j.celrep.2020.108128

Padilla, N., Saenger, V. M., van Hartevelt, T. J., Fernandes, H. M., Lennartsson, F., Andersson, J. L. R., Kringelbach, M., Deco, G. & Åden, U. (2020). Breakdown of Whole-brain Dynamics in Preterm-born Children. Cerebral Cortex, 30(3), 1159-1170. https://doi.org/10.1093/cercor/bhz156

Fjaeldstad, A. W. & Fernandes, H. M. (2020). Chemosensory Sensitivity after Coffee Consumption Is Not Static: Short-Term Effects on Gustatory and Olfactory Sensitivity. Foods, 9(4), [493]. https://doi.org/10.3390/foods9040493

Stupacher, J., Witek, M. A. G., Vuoskoski, J. K. & Vuust, P. (2020). Cultural familiarity and individual musical taste differently affect social bonding when moving to music. Scientific Reports, 10, [10015]. https://doi.org/10.1038/s41598-020-66529-1

Perl, Y. S., Pallavicini, C., Ipiña, I. P., Kringelbach, M., Deco, G., Laufs, H. & Tagliazucchi, E. (2020). Data augmentation based on dynamical systems for the classification of brain states. Chaos, Solitons and Fractals, 139, [110069]. https://doi.org/10.1016/j.chaos.2020.110069

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2020). Decomposing neural responses to melodic surprise in musicians and non-musicians: evidence for a hierarchy of predictions in the auditory system. NeuroImage, 215, [116816]. https://doi.org/10.1016/j.neuroimage.2020.116816

Kringelbach, M. L., Cruzat, J., Cabral, J., Knudsen, G. M., Carhart-Harris, R., Whybrow, P. C., Logothetis, N. K. & Deco, G. (2020). Dynamic coupling of whole-brain neuronal and neurotransmitter systems. Proceedings of the National Academy of Sciences of the United States of America, 117(17), 9566-9576. https://doi.org/10.1073/pnas.1921475117

Hove, M. J., Martinez, S. A. & Stupacher, J. (2020). Feel the bass: Music presented to tactile and auditory modalities increases aesthetic appreciation and body movement. Journal of Experimental Psychology: General, 149(6), 1137-1147. https://doi.org/10.1037/xge0000708

Zioga, I., Harrison, P. M. C., Pearce, M. T., Bhattacharya, J. & Di Bernardi Luft, C. (2020). From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity. NeuroImage, 206, [116311]. https://doi.org/10.1016/j.neuroimage.2019.116311

Vohryzek, J., Deco, G., Cessac, B., Kringelbach, M. L. & Cabral, J. (2020). Ghost Attractors in Spontaneous Brain Activity: Recurrent Excursions Into Functionally-Relevant BOLD Phase-Locking States. Frontiers in Systems Neuroscience, 14, [20]. https://doi.org/10.3389/fnsys.2020.00020

Atasoy, S., Deco, G. & Kringelbach, M. L. (2020). Harmonic waves as the fundamental principle underlying temporo-spatial dynamics of brain and mind: Comment on “Is temporo-spatial dynamics the “common currency” of brain and mind? In Quest of “Spatiotemporal Neuroscience” ” Georg Northoff et al. Physics of Life Reviews, 33, 67-69. https://doi.org/10.1016/j.plrev.2019.10.001

Hallett, M., de Haan, W., Deco, G., Dengler, R., Di Iorio, R., Gallea, C., Gerloff, C., Grefkes, C., Helmich, R. C., Kringelbach, M. L., Miraglia, F., Rektor, I., Strýček, O., Vecchio, F., Volz, L. J., Wu, T. & Rossini, P. M. (2020). Human brain connectivity: Clinical applications for clinical neurophysiology. Clinical Neurophysiology, 131(7), 1621-1651. https://doi.org/10.1016/j.clinph.2020.03.031

Fasano, M. C., Glerean, E., Gold, B. P., Sheng, D., Sams, M., Vuust, P., Rauschecker, J. P. & Brattico, E. (2020). Inter-subject Similarity of Brain Activity in Expert Musicians After Multimodal Learning: A Behavioral and Neuroimaging Study on Learning to Play a Piano Sonata. Neuroscience, 441, 102-116. https://doi.org/10.1016/j.neuroscience.2020.06.015

Schiavio, A., Stupacher, J., Parncutt, R. & Timmers, R. (2020). Learning Music From Each Other: Synchronization, Turn-taking, or Imitation? Music Perception, 37(5), 403-422. https://doi.org/10.1525/mp.2020.37.5.403

Ipiña, I. P., Kehoe, P. D., Kringelbach, M., Laufs, H., Ibañez, A., Deco, G., Perl, Y. S. & Tagliazucchi, E. (2020). Modeling regional changes in dynamic stability during sleep and wakefulness. NeuroImage, 215, [116833]. https://doi.org/10.1016/j.neuroimage.2020.116833

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2020). Musical prediction error responses similarly reduced by predictive uncertainty in musicians and non-musicians. European Journal of Neuroscience, 51(11), 2250-2269. https://doi.org/10.1111/ejn.14667

Celma-Miralles, A. & Toro, J. M. (2020). Non-human animals detect the rhythmic structure of a familiar tune. Psychonomic Bulletin and Review, 27(4), 694-699. https://doi.org/10.3758/s13423-020-01739-2

Alonso Martínez, S., Marsman, J. B. C., Kringelbach, M. L., Deco, G. & ter Horst, G. J. (2020). Reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup. NeuroImage: Clinical, 27, [102299]. https://doi.org/10.1016/j.nicl.2020.102299

Jespersen, K. V., Stevner, A., Fernandes, H., Sørensen, S. D., Van Someren, E., Kringelbach, M. L. & Vuust, P. (2020). Reduced structural connectivity in Insomnia Disorder. Journal of Sleep Research, 29(1), [e12901]. https://doi.org/10.1111/jsr.12901

Petersen, B., Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Michel, F., Kamaric Riis, S., Brattico, E. & Vuust, P. (2020). The CI MuMuFe: A New MMN Paradigm for Measuring Music Discrimination in Electric Hearing. Frontiers in Neuroscience, 14, [2]. https://doi.org/10.3389/fnins.2020.00002

Stark, E. A., Cabral, J., Riem, M. M. E., Van IJzendoorn, M. H., Stein, A. & Kringelbach, M. L. (2020). The Power of Smiling: The Adult Brain Networks Underlying Learned Infant Emotionality. Cerebral cortex (New York, N.Y. : 1991), 30(4), 2019-2029. https://doi.org/10.1093/cercor/bhz219

Toiviainen, P., Burunat, I., Brattico, E., Vuust, P. & Alluri, V. (2020). The chronnectome of musical beat. NeuroImage, 216, [116191]. https://doi.org/10.1016/j.neuroimage.2019.116191

Matthews, T. E., Witek, M. A. G., Lund, T., Vuust, P. & Penhune, V. B. (2020). The sensation of groove engages motor and reward networks. NeuroImage, 214, [116768]. https://doi.org/10.1016/j.neuroimage.2020.116768

Vila-Vidal, M., Capouskova, K., Atasoy, S., Kringelbach, M. L. & Deco, G. (2020). Uncovering the spatiotemporal scales of common neuro-mental constructs: Comment on “Is temporo-spatial dynamics the ‘common currency’ of brain and mind? In Quest of ‘Spatiotemporal Neuroscience’ ” by Georg Northoff et al. Physics of Life Reviews, 33, 64-66. https://doi.org/10.1016/j.plrev.2019.10.004

PanCareLIFE Consortium (2020). Usefulness of current candidate genetic markers to identify childhood cancer patients at risk for platinum-induced ototoxicity: Results of the European PanCareLIFE cohort study. European Journal of Cancer, 138, 212-224. https://doi.org/10.1016/j.ejca.2020.07.019

Heggli, O. A., Cabral, J., Konvalinka, I., Vuust, P. & Kringelbach, M. L. (2019). A Kuramoto model of self-other integration across interpersonal synchronization strategies. PLOS Computational Biology, 15(10), [e1007422]. https://doi.org/10.1371/journal.pcbi.1007422

Jespersen, K. V., Otto, M., Kringelbach, M. L., Van Someren, E. & Vuust, P. (2019). A randomized controlled trial of bedtime music for insomnia disorder. Journal of Sleep Research, 28(4), [e12817]. https://doi.org/10.1111/jsr.12817

Brattico, E. & Varankaitė, U. (2019). Aesthetic empowerment through music. Musicae Scientiae, 23(3), 285-303. https://doi.org/10.1177/1029864919850606

Figueroa, C. A., Cabral, J., Mocking, R. J. T., Rapuano, K. M., van Hartevelt, T. J., Deco, G., Expert, P., Schene, A. H., Kringelbach, M. L. & Ruhé, H. G. (2019). Altered ability to access a clinically relevant control network in patients remitted from major depressive disorder. Human Brain Mapping, 40(9), 2771-2786. https://doi.org/10.1002/hbm.24559

Jespersen, K. V., Stevner, A., Fernandes, H., Sørensen, S. D., Van Someren, E., Kringelbach, M. L. & Vuust, P. (2019). Altered brain connectivity in Insomnia Disorder. Poster session presented at Neuroscience Day 2019, Aarhus, Denmark.

Haumann, N. T., Huotilainen, M., Vuust, P. & Brattico, E. (2019). Applying stochastic spike train theory for high-accuracy MEG/EEG. https://www.biorxiv.org/content/10.1101/532879v1

Mencke, I., Omigie, D., Wald-Fuhrmann, M. & Brattico, E. (2019). Atonal Music: Can Uncertainty Lead to Pleasure? Frontiers in Neuroscience, 12(979), [979]. https://doi.org/10.3389/fnins.2018.00979

Robson, H., Griffiths, T. D., Grube, M. & Woollams, A. M. (2019). Auditory, Phonological, and Semantic Factors in the Recovery From Wernicke’s Aphasia Poststroke: Predictive Value and Implications for Rehabilitation. Neurorehabilitation and Neural Repair, 33(10), 800-812. https://doi.org/10.1177/1545968319868709

Deco, G., Cruzat, J., Cabral, J., Tagliazucchi, E., Laufs, H., Logothetis, N. K. & Kringelbach, M. L. (2019). Awakening: Predicting external stimulation to force transitions between different brain states. Proceedings of the National Academy of Sciences of the United States of America, 116(36), 18088-18097. https://doi.org/10.1073/pnas.1905534116

Radloff, S., Trusbak Haumann, N., Brandl, S., Brattico, E., Vuust, P. & Grube, M. (2019). BEAT BASED ENTRAINMENT IN THE BRAIN and the question of its relevance to auditory perception of rhythmic patterns.. Poster session presented at AU Neuroscience Day 2019 .

Deco, G., Cruzat, J. & Kringelbach, M. L. (2019). Brain songs framework used for discovering the relevant timescale of the human brain. Nature Communications, 10, [583]. https://doi.org/10.1038/s41467-018-08186-7

Brandl, S., Trusbak Haumann, N., Brattico, E., Vuust, P. & Grube, M. (2019). Chasing auditory rhythmic regularity processingin the EEG & MEG.. Poster session presented at The Predictive Brain Conference, Marseille, France.

Brandl, S., Trusbak Haumann, N., Brattico, E., Vuust, P. & Grube, M. (2019). Chasing auditory rhythmic regularity processingin the EEG – and now MEG.. Poster session presented at MEG Nord, Jyväskylä, Finland.

Morrison, S., Demorest, S. & Pearce, M. (2019). Cultural Distance: A Computational Approach to Exploring Cultural Influences on Music Cognition. In M. Thaut & D. Hodges (Eds.), Oxford Handbook of Music and the Brain Oxford University Press. https://doi.org/10.1093/oxfordhb/9780198804123.013.3

Niklassen, A. S., Ovesen, T., Fernandes, H. & Fjaeldstad, A. (2019). Danish Validation of Sniffin’ Sticks Olfactory Test for Threshold, Discrimination, and Identification. Poster session presented at Dansk Selskab for Oto-rhino-laryngologi, Hoved-Halskirurgi: DSOHH årsmøde, Nyborg, Denmark.

Stevner, A. B. A., Vidaurre, D., Cabral, J., Rapuano, K., Nielsen, S. F. V., Tagliazucchi, E., Laufs, H., Vuust, P., Deco, G., Woolrich, M. W., Van Someren, E. & Kringelbach, M. L. (2019). Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep. Nature Communications, 10(1), [1035]. https://doi.org/10.1038/s41467-019-08934-3

Fernandes, H. M., Cabral, J., van Hartevelt, T. J., Lord, L. D., Gleesborg, C., Møller, A., Deco, G., Whybrow, P. C., Petrovic, P., James, A. C. & Kringelbach, M. L. (2019). Disrupted brain structural connectivity in Pediatric Bipolar Disorder with psychosis. Scientific Reports, 9(1), [13638]. https://doi.org/10.1038/s41598-019-50093-4

Starcke, K., von Georgi, R., Tiihonen, T. M., Laczika, K. F. & Reuter, C. (2019). Don't drink and chill: Effects of alcohol on subjective and physiological reactions during music listening and their relationships with personality and listening habits. International Journal of Psychophysiology, 142, 25-32. https://doi.org/10.1016/j.ijpsycho.2019.06.001

Costa, M., Bonetti, L., VIgnali, V., Bichicchi, A., Lantieri, C. & Simone, A. (2019). Driver's visual attention to different categories of roadside advertising signs. Applied Ergonomics, 78, 127-136. https://doi.org/10.1016/j.apergo.2019.03.001

Niranjan, D., Toiviainen, P., Brattico, E. & Alluri, V. (2019). Dynamic Functional Connectivity in the Musical Brain. In P. Liang, V. Goel & C. Shan (Eds.), Brain Informatics : 12th International Conference, BI 2019 Haikou, China, December 13–15, 2019 Proceedings (pp. 82-91). Springer. Lecture Notes in Computer Science, Vol.. 11976 LNAI https://doi.org/10.1007/978-3-030-37078-7_9

Lumaca, M., Vuust, P. & Dietz, M. (2019). Dynamic causal modelling of effective connectivity during music perception. Poster session presented at Organization for Human Brain Mapping (OHBM) Annual Meeting 2019, Rome, Italy.

Lord, L. D., Expert, P., Atasoy, S., Roseman, L., Rapuano, K., Lambiotte, R., Nutt, D. J., Deco, G., Carhart-Harris, R. L., Kringelbach, M. L. & Cabral, J. (2019). Dynamical exploration of the repertoire of brain networks at rest is modulated by psilocybin. NeuroImage, 199, 127-142. https://doi.org/10.1016/j.neuroimage.2019.05.060

Karageorghis, C. I., Lyne, L. P., Bigliassi, M. & Vuust, P. (2019). Effects of auditory rhythm on movement accuracy in dance performance. Human Movement Science, 67, [102511]. https://doi.org/10.1016/j.humov.2019.102511

Displaying results 1 to 50 out of 480

1

Comments on content:

Hella Kastbjerg

Revised 27.09.2020